Jacopo de Tommaso, F. Rossi, Nooshin Moradi, C. Pirola, G. Patience, F. Galli
{"title":"Experimental methods in chemical engineering: Process simulation","authors":"Jacopo de Tommaso, F. Rossi, Nooshin Moradi, C. Pirola, G. Patience, F. Galli","doi":"10.1002/cjce.23857","DOIUrl":null,"url":null,"abstract":"Process simulation software designs equipment, simulates operations, optimizes a plant’s configuration (heat exchangers network, for example), estimates operating and capital expenses, and serves as educational tools. However, mastering the theoretical background minimizes common mistakes such as applying an incorrect thermodynamic method, selecting improper algorithms in the case of tear systems, and set irrational system specifications. Engineers and researchers will exploit this tool more often in the future as constant advancements in simulation science as well as new models are released continually. Process simulators ease the building of digital twins and thus will facilitate implementation of the industry 4.0 guidelines. We highlight the mathematical and technical features of process simulators, as well as the capabilities and the fields of applications. A bibliometric map of keywords from articles citing Aspen+, Aspen plus, Hysys, and Pro/II indexed by Web of Science between 2017 and 2020 identified the main research clusters such as: Design; Optimization; Process simulation software designs equipment, simulates operations, optimizes a plant’s configuration (heat exchangers network, for example), estimates operating and capital expenses, and serves as educational tools. However, mastering the theoretical background minimizes common mistakes such as applying an incorrect thermodynamic method, selecting improper algorithms in the case of tear systems, and set irrational system specifications. Engineers and researchers will exploit this tool more often in the future as constant advancements in simulation science as well as new models are released continually. Process simulators ease the building of digital twins and thus will facilitate implementation of the industry 4.0 guidelines. We highlight the mathematical and technical features of process simulators, as well as the capabilities and the fields of applications. A bibliometric map of keywords from articles citing Aspen+, Aspen plus, Hysys, and Pro/II indexed by Web of Science between 2017 and 2020 identified the main research clusters such as: Design; Optimization;","PeriodicalId":276433,"journal":{"name":"The Canadian Journal of Chemical Engineering","volume":"245 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Canadian Journal of Chemical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/cjce.23857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Process simulation software designs equipment, simulates operations, optimizes a plant’s configuration (heat exchangers network, for example), estimates operating and capital expenses, and serves as educational tools. However, mastering the theoretical background minimizes common mistakes such as applying an incorrect thermodynamic method, selecting improper algorithms in the case of tear systems, and set irrational system specifications. Engineers and researchers will exploit this tool more often in the future as constant advancements in simulation science as well as new models are released continually. Process simulators ease the building of digital twins and thus will facilitate implementation of the industry 4.0 guidelines. We highlight the mathematical and technical features of process simulators, as well as the capabilities and the fields of applications. A bibliometric map of keywords from articles citing Aspen+, Aspen plus, Hysys, and Pro/II indexed by Web of Science between 2017 and 2020 identified the main research clusters such as: Design; Optimization; Process simulation software designs equipment, simulates operations, optimizes a plant’s configuration (heat exchangers network, for example), estimates operating and capital expenses, and serves as educational tools. However, mastering the theoretical background minimizes common mistakes such as applying an incorrect thermodynamic method, selecting improper algorithms in the case of tear systems, and set irrational system specifications. Engineers and researchers will exploit this tool more often in the future as constant advancements in simulation science as well as new models are released continually. Process simulators ease the building of digital twins and thus will facilitate implementation of the industry 4.0 guidelines. We highlight the mathematical and technical features of process simulators, as well as the capabilities and the fields of applications. A bibliometric map of keywords from articles citing Aspen+, Aspen plus, Hysys, and Pro/II indexed by Web of Science between 2017 and 2020 identified the main research clusters such as: Design; Optimization;
过程模拟软件设计设备,模拟操作,优化工厂配置(例如热交换器网络),估算运营和资本支出,并作为教育工具。然而,掌握理论背景可以最大限度地减少常见错误,如应用不正确的热力学方法,在撕裂系统的情况下选择不正确的算法,以及设置不合理的系统规格。随着仿真科学的不断进步以及新模型的不断发布,工程师和研究人员将在未来更频繁地利用这一工具。流程模拟器简化了数字孪生的构建,从而将促进工业4.0指导方针的实施。我们强调过程模拟器的数学和技术特点,以及功能和应用领域。2017年至2020年期间,Web of Science收录的文章中引用的Aspen+、Aspen plus、Hysys和Pro/II的关键词的文献计量图确定了主要的研究集群,如:设计;优化;过程模拟软件设计设备,模拟操作,优化工厂配置(例如热交换器网络),估算运营和资本支出,并作为教育工具。然而,掌握理论背景可以最大限度地减少常见错误,如应用不正确的热力学方法,在撕裂系统的情况下选择不正确的算法,以及设置不合理的系统规格。随着仿真科学的不断进步以及新模型的不断发布,工程师和研究人员将在未来更频繁地利用这一工具。流程模拟器简化了数字孪生的构建,从而将促进工业4.0指导方针的实施。我们强调过程模拟器的数学和技术特点,以及功能和应用领域。2017年至2020年期间,Web of Science收录的文章中引用的Aspen+、Aspen plus、Hysys和Pro/II的关键词的文献计量图确定了主要的研究集群,如:设计;优化;